Fuel regression characteristics of a novel axial-injection end-burning hybrid rocket

Yuji Saito, Toshiki Yokoi, Hiroyuki Yasukochi, Kentaro Soeda, Tsuyoshi Totani, Masashi Wakita, Harunori Nagata

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

The regression characteristics of axial-injection end-burning hybrid rocket were experimentally investigated using a laboratory-scale motor. The axial-injection end-burning type fuel grains were made by high-accuracy threedimensional printing. Firing tests wereconducted using gaseous oxygenasthe oxidizeratachamber pressure rangeof 0.10 to 0.43 MPa. Results of 15 static firings tests show that fuel regression rate increases as the chamber pressure rises, and fuel regression rate decreases as the oxidizer port velocity increases. A data reduction method was developed to avoid the difficulty in calculating oxidizer-to-fuel ratio. A simplified fuel regression model based on the granular diffusion flamemodelisdevelopedto investigate regression characteristics. Thetrendinresultsascalculated using the granular diffusion flame model agrees with that in experimentally observe values. However, this does not hold true in tests with varying oxidizer port velocity. A granular diffusion flame model only takes into account simple solid propellant regression. Therefore,modificationofthe modelisneeded for calculatingthe fuel regression rateofan end-burning hybrid rocket.

Original languageEnglish
Pages (from-to)247-259
Number of pages13
JournalJournal of Propulsion and Power
Volume34
Issue number1
DOIs
Publication statusPublished - 2018 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Aerospace Engineering
  • Fuel Technology
  • Mechanical Engineering
  • Space and Planetary Science

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